Autonomous Navigation & SLAM with ROS 2 Training Course

This instructor-led training in Slovakia focuses on computer vision for robotics, utilizing OpenCV and deep learning. Participants will acquire the skills to implement perception pipelines, integrate detection models, and deploy systems on embedded platforms to achieve autonomous control.

This live training in Slovakia assists intermediate engineers in deploying TinyML models for robotic applications. Discover methods to optimize inference for enhanced speed and energy efficiency, integrate AI into control systems, and develop autonomous, low-latency robotic solutions directly on embedded hardware.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate-level participants interested in the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces.

By the conclusion of this training, participants will be able to:

• Understand the fundamental principles and applications of Human-Centric Physical AI.
• Analyze the contribution of collaborative robots to workplace productivity.
• Identify and resolve challenges associated with human-machine interactions.
• Create workflows that enhance collaboration between humans and AI systems.
• Cultivate a culture of innovation and adaptability in workplaces utilizing AI.

This practical HRI course in Slovakia focuses on voice, gestures, and collaborative control. Gain the skills to build intuitive, multimodal interfaces that facilitate safe human-robot collaboration, with a strong emphasis on practical design, speech recognition, gesture detection, and shared autonomy to boost both usability and safety.

This hands-on training in Slovakia addresses ROS-PLC integration and digital twins for industrial automation. Learn to synchronize robotic systems with PLCs, develop digital replicas for simulation, and optimize production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training, conducted Slovakia (online or onsite), targets engineers interested in exploring the application of artificial intelligence to mechatronic systems.

By the conclusion of this training, participants will be able to:

• Gain a broad understanding of artificial intelligence, machine learning, and computational intelligence.
• Understand the core concepts of neural networks and diverse learning methods.
• Effectively select artificial intelligence approaches for addressing practical challenges.
• Implement AI applications within mechatronic engineering contexts.

An advanced training in Slovakia that covers the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize collaboration across agents through hands-on simulation in ROS 2 and Gazebo, targeting real-world applications.

This instructor-led, live training in Slovakia (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.

By the end of this training, participants will be able to:

• Implement multimodal sensing in robotic systems.
• Develop AI algorithms for sensor fusion and decision-making.
• Create robots that can perform complex tasks in dynamic environments.
• Address challenges in real-time data processing and actuation.

This live, instructor-led training in Slovakia (delivered online or on-site) is tailored for intermediate-level professionals seeking to refine their expertise in designing, programming, and deploying intelligent robotic systems for automation and advanced use cases.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of Physical AI and their practical applications in robotics and automation.
• Architect and program intelligent robotic systems tailored for dynamic environments.
• Integrate AI models to facilitate autonomous decision-making within robotic frameworks.
• Utilize simulation tools to streamline robotic testing and optimization processes.
• Navigate complex challenges, including sensor fusion, real-time data processing, and energy efficiency.

This practical, instructor-led course in Slovakia focuses on rapid prototyping in robotics by utilizing ROS 2 and Docker. Participants will acquire the essential skills to efficiently build, test, and deploy modular robotic systems, with a particular focus on hands-on expertise in containerization, simulation, and version control to support scalable development initiatives.

This live, instructor-led course in Slovakia explores the principles of reinforcement learning and deep RL methods such as PPO and DDPG. Learners will apply algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to tackle complex challenges.

An advanced training in Slovakia focusing on deep learning applications for robotic manipulation. This course covers perception, grasp planning, and control using neural networks and ROS 2. Through hands-on simulation exercises, it prepares you to effectively deploy intelligent, adaptable grasping solutions on real robotic arms.